CN111795442B - Intelligent distributed air disinfection and purification system - Google Patents

Intelligent distributed air disinfection and purification system Download PDF

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CN111795442B
CN111795442B CN202010660443.9A CN202010660443A CN111795442B CN 111795442 B CN111795442 B CN 111795442B CN 202010660443 A CN202010660443 A CN 202010660443A CN 111795442 B CN111795442 B CN 111795442B
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intelligent
module
air
terminal
terminal air
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CN111795442A (en
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余华
孙阳
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720 Health Beijing Itech Health Co ltd
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720 Health Beijing Itech Health Co ltd
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F3/00—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems
    • F24F3/12—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling
    • F24F3/16—Air-conditioning systems in which conditioned primary air is supplied from one or more central stations to distributing units in the rooms or spaces where it may receive secondary treatment; Apparatus specially designed for such systems characterised by the treatment of the air otherwise than by heating and cooling by purification, e.g. by filtering; by sterilisation; by ozonisation
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/32—Responding to malfunctions or emergencies
    • F24F11/37—Resuming operation, e.g. after power outages; Emergency starting
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
    • F24F11/32—Responding to malfunctions or emergencies
    • F24F11/38—Failure diagnosis
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/52—Indication arrangements, e.g. displays
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/56—Remote control
    • F24F11/58—Remote control using Internet communication
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/50—Control or safety arrangements characterised by user interfaces or communication
    • F24F11/61—Control or safety arrangements characterised by user interfaces or communication using timers
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/62—Control or safety arrangements characterised by the type of control or by internal processing, e.g. using fuzzy logic, adaptive control or estimation of values
    • F24F11/63—Electronic processing
    • F24F11/64—Electronic processing using pre-stored data
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/70—Control systems characterised by their outputs; Constructional details thereof
    • F24F11/72—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure
    • F24F11/74—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity
    • F24F11/77—Control systems characterised by their outputs; Constructional details thereof for controlling the supply of treated air, e.g. its pressure for controlling air flow rate or air velocity by controlling the speed of ventilators
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F11/00—Control or safety arrangements
    • F24F11/89—Arrangement or mounting of control or safety devices
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/50—Air quality properties
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2110/00—Control inputs relating to air properties
    • F24F2110/50—Air quality properties
    • F24F2110/52—Air quality properties of the outside air
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2120/00—Control inputs relating to users or occupants
    • F24F2120/10—Occupancy
    • F24F2120/14—Activity of occupants
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
    • F24F2130/10—Weather information or forecasts
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F24—HEATING; RANGES; VENTILATING
    • F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
    • F24F2130/00—Control inputs relating to environmental factors not covered by group F24F2110/00
    • F24F2130/20—Sunlight
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
    • Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B30/00—Energy efficient heating, ventilation or air conditioning [HVAC]
    • Y02B30/70—Efficient control or regulation technologies, e.g. for control of refrigerant flow, motor or heating

Abstract

The invention relates to an intelligent distributed air disinfection and purification system, which comprises a terminal air disinfection machine and an intelligent cloud background; the terminal air sterilizer is deployed in a public indoor place and is communicated with the intelligent cloud background through a wireless communication module; the intelligent cloud background comprises an intelligent strategy subsystem, an AI intelligent learning subsystem, a deployment maintenance subsystem, a data visualization subsystem and a user authority subsystem; the intelligent strategy subsystem comprises an intelligent strategy module based on attribute characteristics, an intelligent strategy module based on indoor air quality, an intelligent strategy module based on outdoor air quality, an intelligent strategy module based on human body induction, an intelligent strategy module based on time and an intelligent strategy module based on light induction. The invention can realize the centralized intelligent management of a plurality of air disinfectors in public indoor places.

Description

Intelligent distributed air disinfection and purification system
Technical Field
The invention relates to the technical field of air disinfection and purification, in particular to an intelligent distributed air disinfection and purification system.
Background
Aiming at the improvement of air quality, various types of air purifiers exist in the prior art, and most of the existing air purifiers are used for intervening the air quality of a room in a household application scene by placing the air purifiers in the room and adopting a manual or remote control mode.
With the increasing concern for health, there is also an increasing concern about the quality of air in public indoor locations where people often gather, use or serve people's public, such as: schools, hospitals, hotels, bank business halls, cinemas, government offices, enterprises and public institutions and the like, wherein the public indoor places are relatively concentrated in population, frequently contacted with one another and high in mobility; the mixed health and non-health of individuals is prone to the spread of diseases, particularly infectious diseases.
For public indoor places with frequent crowd gathering and activities, even if an air purifier is placed in each room, special persons usually operate and maintain the rooms one by one. The operation state of the air purifier placed in the whole place cannot be clear at a glance or controlled through a centralized strategy, and the fault treatment of the air purifier is completely dependent on the initiative of maintenance personnel and cannot be found and treated in time. Therefore, an intelligent distributed air disinfection and purification system capable of centrally managing and controlling a plurality of air purification devices deployed in public indoor places is urgently needed.
Disclosure of Invention
The invention aims to provide an intelligent distributed air disinfection and purification system to realize centralized intelligent management of a plurality of air disinfectors in public indoor places.
The invention provides an intelligent distributed air disinfection and purification system, which comprises a terminal air disinfection machine and an intelligent cloud background; the terminal air sterilizer is deployed in a public indoor place and is communicated with the intelligent cloud background through a wireless communication module;
the intelligent cloud background comprises an intelligent strategy subsystem;
the intelligent policy subsystem comprises:
the intelligent strategy module based on the attribute characteristics is used for controlling the terminal air sterilizer to execute a single control strategy or a combined control strategy through starting, closing and adjusting the wind speed gear operation according to the attribute characteristics of the public indoor places and the running state data of the terminal air sterilizer; the attribute characteristics comprise schools, hospitals, hotels, bank business halls, movie theaters, government offices and enterprise and public office buildings;
the intelligent strategy module based on the indoor air quality is used for controlling the terminal air sterilizer to execute a corresponding control strategy through starting, closing and adjusting wind speed gear operation based on a preset air quality index target value according to real-time monitoring data of one or more air quality indexes in a public indoor place and running state data of the terminal air sterilizer;
the intelligent strategy module based on the outdoor air quality is used for controlling the terminal air sterilizer to execute a corresponding control strategy by starting, closing and adjusting the wind speed gear operation according to the forecast information of one or more air quality indexes of outdoor weather of the place where the public indoor place is located and the running state data of the terminal air sterilizer by combining with the preset target value of the indoor air quality index;
the intelligent strategy module based on human body induction is used for controlling the terminal air sterilizer to execute a corresponding control strategy through starting, closing and adjusting wind speed gear operation according to human body induction data acquired by a human body induction device arranged on the terminal air sterilizer and running state data of the terminal air sterilizer; when the human body sensing device detects that a person moves, the terminal air disinfection machine is started, and the wind speed gear is adjusted according to the corresponding relation between the indoor pollutant condition and the wind speed gear; when the human body sensing device does not detect the activity of a person within a set time, closing the terminal air sterilizing machine;
the intelligent strategy module based on light induction is used for controlling the terminal air sterilizer to execute a corresponding control strategy through starting, closing and adjusting wind speed gear operation according to visible light intensity data and terminal air sterilizer running state data acquired by a light induction sensor arranged on the terminal air sterilizer; when the light induction sensor detects light with set light intensity, the terminal air sterilizer is started; when the light ray induction sensor does not detect the light ray with the set light ray intensity, the terminal air sterilizing machine is in a closed state; the visible light comprises natural light and lamplight; the visible light comprises natural light and lamplight;
the intelligent strategy module based on time is used for controlling the terminal air sterilizer to execute a corresponding control strategy through starting, closing and adjusting the wind speed gear operation according to the service time of the public indoor place and the running state data of the terminal air sterilizer; the service time comprises fixed service time and reserved service time.
Further, the control strategy executed by the intelligent strategy module based on the attribute characteristics comprises:
executing an air quality-based control strategy and/or a time-based control strategy for classrooms of schools, bank business halls, movie theaters, government offices, enterprise and public office buildings;
executing an air quality based control strategy for a ward of a hospital;
a human body sensing-based and/or light sensing-based control strategy is implemented for the rooms of the hotel.
Further, the intelligent cloud background further comprises an AI intelligent learning subsystem;
the AI intelligent learning subsystem comprises:
the intelligent learning module is used for learning human actual intervention data of the terminal air sterilizer to obtain user use preference based on the attribute characteristics and generating or updating a control strategy according with the user use preference;
the intelligent learning module based on the indoor air quality is used for learning the artificial actual intervention data of the terminal air sterilizer to obtain the user use preference based on the indoor air quality and generating or updating a control strategy conforming to the user use preference;
the intelligent learning module is used for learning human actual intervention data of the terminal air sterilizer to obtain user use preference based on human body induction and generate a control strategy according with the user use preference;
the intelligent learning module is used for learning artificial actual intervention data of the terminal air sterilizer, obtaining user use preference based on light induction and generating a control strategy according with the user use preference;
the intelligent learning module based on time is used for learning human actual intervention data of the terminal air sterilizer to obtain user use preference based on human body induction and generating or updating a control strategy conforming to the user use preference;
the intelligent learning module is used for learning human actual intervention data of the terminal air sterilizer and generating an individual control strategy according with the preference of a user or a general control strategy for a specific scene; the specific scene comprises public indoor places with different attributes, the same attribute space in the public indoor place with the same attribute, the same attribute space in the public indoor places with different attributes, the public indoor places with different regions and combinations thereof.
Further, the intelligent cloud background further comprises a deployment maintenance subsystem;
the deployment maintenance subsystem includes:
the deployment information acquisition module is used for acquiring the deployment position, the deployment number, the hardware configuration and the network configuration information of the terminal air sterilizer;
and the fault processing and maintaining module is used for generating a corresponding maintenance work order according to the fault code information reported by the terminal air sterilizer, distributing the maintenance work order to corresponding maintenance personnel, judging whether the fault is removed or not according to the work order finishing information submitted by the maintenance personnel based on the fault code information, generating work order finishing confirmation information if the fault is removed, and re-distributing the maintenance work order until the fault is removed if the fault is not removed.
Further, the smart cloud background further comprises a data visualization subsystem;
the data visualization subsystem includes:
the data processing module is used for processing the air quality data and the operation state data reported by the terminal air sterilizer to obtain the visual data of the indoor and outdoor air quality indexes, the sterilization and purification effects and the operation state data of the terminal air sterilizer of the public indoor place;
and the data display module is used for displaying the visual data.
Further, the intelligent cloud background further comprises a user authority subsystem;
the user authority subsystem comprises:
the deployment maintenance authority module is used for authorizing terminal air sterilizer deployment and work order maintenance authorities, wherein the work order maintenance authorities comprise work order claiming authorities and work order state updating authorities;
the subarea management authority module is used for authorizing the terminal air sterilizer deployment, the control strategy maintenance, the running state monitoring, the maintenance and repair and the authority of the managed maintenance personnel in the jurisdiction;
the data visualization viewing authority module is used for authorizing visualization data of the terminal air disinfector in the jurisdiction area;
the data visualization maintenance authority module is used for authorizing the maintenance authority of the visualization data;
and the super management authority module is used for authorizing all authorities of the intelligent distributed air disinfection and purification system.
Furthermore, the wireless communication module is arranged on the terminal air sterilizer and is connected with a power failure fault reporting device;
the power failure fault reporting device comprises a standby battery, a charging and discharging circuit, a voltage conversion circuit, an analog-to-digital conversion circuit and a power failure fault reporting module;
the input end of the charge-discharge circuit is connected with an input power supply of the terminal air sterilizer, the output end of the charge-discharge circuit is connected with the input end of the voltage conversion circuit, and the output end of the voltage conversion circuit is connected with the power supply input end of the wireless communication module;
the standby battery is connected with the charging and discharging circuit and used for charging the standby battery through the charging and discharging circuit when an input power supply exists and supplying power to the wireless communication module through the standby battery when no input power supply exists;
the analog-to-digital conversion circuit is connected with the input power supply and the wireless communication module and is used for detecting the input voltage of the input power supply and feeding power supply state information back to the wireless communication module;
the power failure fault reporting module is embedded in the wireless communication module and used for acquiring power supply state information fed back by the analog-to-digital conversion circuit and information of the charging and discharging circuit for connecting or disconnecting the input power supply, and if the power supply state is in an abnormal state and the charging and discharging circuit and the input power supply are in a disconnected state, the power failure fault information is uploaded to the cloud background.
Further, the cloud background acquires the position information of the air disinfector of the distribution network terminal based on the position information of the intelligent mobile terminal when the personnel are deployed on site and the network is distributed.
Further, the terminal air sterilizer comprises an MCU, an air quality acquisition module and a power module for independently supplying power to the air quality acquisition module, wherein the power module is used for continuously supplying power to the air quality acquisition module when the terminal air sterilizer is in a standby state;
the air quality acquisition module is used for uploading real-time acquired air quality data to the MCU when the terminal air sterilizer is in a standby state, and the MCU executes the starting of the terminal air sterilizer, the adjustment of the rotating speed of the motor and the action of the corresponding wind speed gear.
Further, the wireless communication module is an NB-IOT module.
Borrow by above-mentioned scheme, through distributed air disinfection clean system, have following technological effect:
1) through the intelligent strategy subsystem, an individualized solution can be provided according to the attribute characteristics of the public indoor place, the indoor air quality requirements of different crowds, the outdoor air quality forecast information, the use of the public indoor place and the crowd activity characteristics, all-weather intelligent unattended operation of the terminal disinfection machine is realized, the manpower is saved to the maximum extent, and the energy consumption is reduced.
2) Through the AI intelligent learning subsystem, AI intelligent learning can be carried out based on artificial actual intervention data of the terminal air sterilizer, use preference of a user is obtained, and the AI intelligent learning subsystem is used for generating a new intelligent strategy or updating the existing intelligent strategy, so that the air sterilizing device deployed in a public indoor place can be used for carrying out air sterilization and purification more intelligently and more individually.
3) Through the deployment and maintenance subsystem, the fault monitoring can be carried out on the terminal air sterilizer, and the timeliness and the quality of work order treatment are ensured through the dual work order closed-loop treatment process, and the after-sale service quality of the terminal air sterilizer is ensured.
4) Through the data visualization subsystem, the user who deploys the air sterilizing machine can be conveniently, and the running state and the purifying and sterilizing effect of the air sterilizing machine in each deployed space can be checked more visually, so that the user experience is improved.
5) Through the user authority subsystem, different authorities can be granted according to user types, and the terminal air sterilizer is convenient to carry out authority-sharing management, maintenance and data viewing.
6) Through outage fault reporting device, the fault reason that wireless transmission interrupted can be judged, wireless transmission module trouble is got rid of, through reporting outage fault information to the cloud backstage, is favorable to the work order to distribute, improves the efficiency of fault handling.
7) The wireless transmission module is preferably an NB-IOT module, so that the networking configuration of the air disinfection device is simplified, the air disinfection device is ensured to be networked by using the telecommunication-level network quality, the communication with a cloud background in a stable and reliable manner within 7X24 hours is realized, and data are reported and controlled.
8) In the process of matching the air disinfector with the network, the GPS position information of the mobile terminal is bound with the ID information of the air disinfector arranged at the deployment site and uploaded to the cloud background, so that the cloud background can simply and conveniently acquire the position information of the air disinfector without arranging an independent position acquisition module in the air disinfector, the structure of the air disinfector at the terminal is simplified, and the cost is reduced.
9) Through set up the power module who independently supplies power for air quality acquisition module at terminal air sterilizing machine, can realize air quality monitoring and air purification under the terminal air sterilizing machine standby state, according to the change of air quality, in time, reliably provide the air purification scheme.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood and to implement them in accordance with the contents of the description, the following detailed description is given with reference to the preferred embodiments of the present invention and the accompanying drawings.
Drawings
FIG. 1 is a schematic diagram of a distributed air decontamination system according to the present invention;
FIG. 2 is a failure handling and maintenance flow diagram of a deployment and maintenance subsystem of the present invention;
FIG. 3 is a schematic structural diagram of the outage fault reporting apparatus according to the present invention;
fig. 4 is a schematic structural view of the terminal air sterilizer for standby monitoring according to the present invention.
Detailed Description
The following detailed description of embodiments of the present invention is provided in connection with the accompanying drawings and examples. The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
The terms of relevance in the present invention are explained as follows:
an air purifier: the air purifier is also called as an air cleaner, an air freshener and a purifier, can adsorb, decompose or convert various air pollutants (generally including PM2.5, dust, pollen, peculiar smell, formaldehyde and other decoration pollution, bacteria, allergen and the like), is a product for effectively improving the air cleanliness, and is mainly divided into application scenes of household, commercial, industrial, building and the like.
An air sterilizer: the air sterilizer is a machine for sterilizing air by the principles of filtering, purifying, sterilizing and the like, and generally realizes the air sterilization effect by adding ultraviolet rays, an ozone generator, a plasma generator and the like on the basis of an air purifier. Besides sterilization and disinfection, such as sterilization, disinfection. Meanwhile, the smoke and the smoke smell generated by smoking, the bad smell of a toilet and the body smell of a person can be effectively removed. The disinfection effect is reliable, and the disinfection can be carried out under the condition that people move, so that the coexistence of human and machine is realized.
Air quality (Air quality): the air quality judgment method is a parameter reflecting the air pollution degree, and the air quality is judged according to the concentration of pollutants in the air. Air pollution is a complex phenomenon, and the concentration of air pollutants at a particular time and place is influenced by many factors. The magnitude of the emission of man-made pollutants from stationary and mobile sources is one of the most important factors affecting air quality, including exhaust gases from vehicles, ships, airplanes, industrial pollution, residential and heating, waste incineration, etc. The development density of cities, landforms, weather and the like are also important factors influencing the air quality. Air-polluted contaminants include: soot, total suspended particulate matter, respirable particulate matter (PM10), fine particulate matter (PM2.5), nitrogen dioxide, sulfur dioxide, carbon monoxide, ozone, volatile organic compounds, and the like.
NB-IoT: the narrowband Internet of things (NB-IoT) becomes an important branch of the world-wide Internet. The NB-IoT is constructed in a cellular network, only consumes about 180KHz of bandwidth, and can be directly deployed in a GSM network, a UMTS network or an LTE network so as to reduce the deployment cost and realize smooth upgrading. NB-IoT is an emerging technology in the IoT domain that supports cellular data connectivity for low power devices over wide area networks, also known as Low Power Wide Area Networks (LPWANs). NB-IoT supports efficient connectivity for devices with long standby time and high requirements for network connectivity. NB-IoT device battery life can be improved by at least 10 years while still providing very comprehensive indoor cellular data connection coverage.
Public indoor places: the indoor places are indoor places where people often gather, supply public use or serve people, and comprise schools, hospitals, hotels, bank business halls, movie theaters, government offices, enterprise and public office buildings and the like, and the indoor places are relatively centralized in population, frequent in mutual contact and high in mobility; the mixed health and non-health of individuals is prone to the spread of diseases, particularly infectious diseases.
Centralized intelligent management: the related air disinfectors deployed in public indoor places are uniformly managed through a centralized cloud background. The air disinfector deployed in the public indoor place uploads the running state data to the cloud background through a wireless communication technology, and the cloud background controls and manages the air disinfector through a centralized control strategy.
Operating state data: the air sterilizer is characterized by comprising an air sterilizer, a controller and a controller, wherein the air sterilizer is used for starting and stopping the air sterilizer, switching wind speed gears, corresponding operation time, running time of the air sterilizer, accumulated air sterilization and purification amount, consumption of a filter element and other data.
Referring to fig. 1, the present embodiment provides an intelligent distributed air disinfection and purification system, which includes a terminal air disinfection machine (air disinfection 1,2,3, … … n) and an intelligent cloud background; the terminal air sterilizer is deployed in a public indoor place and is communicated with the intelligent cloud background through the wireless communication module. The terminal air disinfection device reports collected environment indexes related to air quality and running state data of the terminal air disinfection device to the cloud background through the wireless communication module, and the cloud background issues an air disinfection device control instruction according to an intelligent control strategy to achieve centralized intelligent management of the terminal air disinfection machine.
The intelligent cloud background comprises an intelligent strategy subsystem, an AI intelligent learning subsystem, a deployment maintenance subsystem, a data visualization subsystem and a user authority subsystem. Wherein:
the intelligent strategy subsystem comprises six intelligent strategy modules, namely an intelligent strategy module based on attribute characteristics, an intelligent strategy module based on indoor air quality, an intelligent strategy module based on outdoor air quality, an intelligent strategy module based on human body induction, an intelligent strategy module based on light induction and an intelligent strategy module based on time. Wherein:
and the intelligent strategy module based on the attribute characteristics is used for controlling the terminal air sterilizer to execute a single control strategy or a combined control strategy through starting, closing and adjusting the wind speed gear operation according to the attribute characteristics of the public indoor places and the running state data of the terminal air sterilizer.
The attribute characteristics of the public indoor places in the embodiment include schools, hospitals, hotels, bank business halls, movie theaters, government offices, enterprise and public office buildings and the like. Such as:
the air quality-based control strategy and/or the time-based control strategy can be executed for classrooms of schools, bank business halls, movie theaters, government offices and enterprise office buildings;
an air quality-based control strategy (including an intelligent strategy based on indoor air quality and an intelligent strategy based on outdoor air quality) can be executed for the wards of the hospital;
a human body sensing-based and/or light sensing-based control strategy may be implemented for the guest rooms of the hotel.
By using different individual control strategies or combination strategies for public indoor places with different attributes, the individual requirements of each public indoor place on air disinfection can be met, all-weather intelligent unattended operation of the terminal disinfection machine is realized, and therefore manpower is saved to the maximum extent, and energy consumption is reduced.
For example, in a primary school, a student starts to learn at 7:30 and goes to school at 16:00 every day, namely, activities of teachers and students are performed at 7:30-16:00 every day, and through the attribute characteristic of a school classroom, a time-based control strategy can be set, the air sterilizing machine is started at 7:30, and the air sterilizing machine is stopped at 16: 00. For example, when the school is on a cold holiday or a summer holiday, the classroom is not usually used, so that the air sterilizer can be set not to be started during the cold holiday or the summer holiday according to the attribute characteristics of the school classroom. Of course, it is also possible to implement an air quality based control strategy, which sets the air disinfection machine to be turned on or off when a certain air quality indicator reaches a set value, or to implement both an air quality based control strategy and a time based control strategy. Other devices such as bank business halls, movie theaters, government agencies and enterprise office buildings can also execute corresponding air quality-based control strategies and/or time-based control strategies according to actual conditions.
For special places such as hospital wards, the air quality-based control strategy can be executed in an important way under the condition of all-weather opening for 24 hours, so that the individual requirements of hospitals on air disinfection are met.
For a hotel room, which is a place with strong randomness of personnel activities, a control strategy based on human body induction and/or light induction can be executed, if human body activities are detected, the air disinfection machine is started, and if no human body activities exist, the air disinfection machine is closed; or when light exists in the room, the air sterilizer is started. After the light is turned off, the air sterilizer is turned off or enters a standby state. Or simultaneously executing control strategies based on human body induction and light induction.
For other applications with different scenarios, due to limited space, the description is omitted here.
And the intelligent strategy module based on the indoor air quality is used for controlling the terminal air sterilizing machine to execute a control strategy based on the indoor air quality through starting, closing and adjusting wind speed gear operation based on a preset air quality index target value according to real-time monitoring data of one or more air quality indexes in a public indoor place and running state data of the terminal air sterilizing machine.
Through different demands of different crowds on indoor air quality, the individualized demands of people on air disinfection can be met by adopting a control strategy based on the indoor air quality, all-weather intelligent unattended operation of the terminal disinfection machine is realized, and therefore manpower is saved to the maximum extent, and energy consumption is reduced.
For example, in a kindergarten, a small school, a hospital ward, a senior citizen and other weak groups, the target value of the air quality (such as PM2.5 in air pollutants) index can be set to be lower, so that the air sterilizer has a lower starting threshold to adapt to the individual requirements of the group. And the better fitness groups such as middle school, university, gymnasium and the like, the target value of the air quality (such as PM2.5 in air pollutants) index is set higher, so that the air sterilizer has a higher starting threshold to adapt to the individual requirements of the groups.
For other applications with different scenarios, due to limited space, the description is omitted here.
And the intelligent strategy module based on the outdoor air quality is used for controlling the terminal air sterilizer to execute a corresponding control strategy by starting, closing and adjusting the wind speed gear operation according to the forecast information of one or more air quality indexes of outdoor weather of the public indoor place and the running state data of the terminal air sterilizer by combining with the preset target value of the indoor air quality index.
Through the intelligent strategy module based on the outdoor air quality, when bad air quality forecast information (such as haze or polluted weather) of terminal air disinfection and deployment places is obtained, the air disinfection machine can be controlled to be started in advance, indoor air is disinfected and purified, so that permeability pollution of outdoor pollutants to the indoor air is avoided, when the outdoor air is in an air pollution environment, good indoor air quality is kept all the time until the bad air quality forecast information is good (such as haze is changed into good air quality) and the indoor air quality reaches a preset target value, the air disinfection machine is turned off, all-weather intelligent unattended operation of the terminal disinfection machine is achieved, manpower is saved to the maximum extent, and energy consumption is reduced.
For example, if the local weather forecast of the terminal air sterilizer deployed in a certain place indicates that severe pollution is caused all day after the day, a control strategy based on the outdoor air quality can be executed before the severe pollution is caused (the time is set according to the severity of the pollution, such as 1-2 hours in advance), and the air sterilizer is started to purify the air until the severe pollution is relieved and the indoor control quality reaches a preset target value, so that the indoor air pollution caused by the outdoor pollutants rapidly permeating into the room is prevented, and the indoor air quality is ensured to be always in a good state.
For other applications with different scenarios, due to limited space, the description is omitted here.
The intelligent strategy module based on human body induction is used for controlling the terminal air sterilizing machine to execute a corresponding control strategy through operations of starting, closing and adjusting wind speed gears according to human body induction data collected by a human body induction device arranged on the terminal air sterilizing machine and running state data of the terminal air sterilizing machine. When the human body sensing device detects that a person moves, starting the terminal air disinfection machine, and adjusting a wind speed gear according to the corresponding relation between the indoor pollutant condition and the wind speed gear; and when the human body sensing device does not detect the activity of a person within the set time, closing the terminal air sterilizing machine.
Through the intelligent strategy module based on human body induction, the intelligent strategy module can be suitable for places with high randomness of personnel activities, and all-weather intelligent unattended operation of the terminal disinfection machine is realized, so that the manpower is saved to the maximum extent, and the energy consumption is reduced.
For example, a hotel executes a control strategy based on human body induction, when human body induction devices of the air disinfector deployed indoors detect human activities within 10 meters, the air disinfector is started, human activities are not detected within 30 minutes, and the air disinfector is closed.
For other applications with different scenarios, due to limited space, the description is omitted here.
The intelligent strategy module based on light induction is used for controlling the terminal air sterilizer to execute a corresponding control strategy through starting, closing and adjusting wind speed gear operation according to visible light intensity data and terminal air sterilizer running state data acquired by a light induction sensor arranged on the terminal air sterilizer; when the light induction sensor detects light with set light intensity, starting the terminal air sterilizer; when the light ray induction sensor does not detect the light ray with the set light ray intensity, the terminal air sterilizing machine is in a closed state; the visible light comprises natural light and lamplight.
Through the intelligent strategy module based on light induction, the requirements of people on night activities or on the application scene of people activities can be met, all-weather intelligent unattended operation of the terminal disinfection machine is realized, and therefore manpower is saved to the maximum extent, and energy consumption is reduced.
For example, in an office, a person enters the space during working hours, the lamp is turned on (or natural light meets office light conditions), the light sensing device of the air sterilizer senses visible light intensity meeting the conditions for turning on the air sterilizer, and then the air sterilizer is turned on. In addition, due to the working requirement, a person can continue to shift after leaving work, the lamp is turned off and leaves until dark, and at the moment, the light sensor of the air sterilizer cannot detect visible light, so that the air sterilizer is turned off.
For other applications with different scenarios, due to limited space, the description is omitted here.
The intelligent strategy module based on time is used for controlling the terminal air sterilizer to execute a corresponding control strategy through starting, closing and adjusting the wind speed gear operation according to the service time of the public indoor place and the running state data of the terminal air sterilizer; the service time comprises fixed service time and reserved service time.
Through this intelligent strategy module based on time, can carry out intelligent control to the terminal air sterilizing apparatus in the place that has fixed live time and the place that can reserve the time and use, satisfy people and purify the demand to the disinfection of terminal air sterilizing apparatus in different time quantums, realize terminal sterilizing apparatus intelligent unmanned on duty all weather to furthest practices thrift the manpower, reduces the energy consumption.
For example, if the open time of a library in a school is 8:00-20:00, a control strategy for turning on and off the air sterilizer can be set according to the open time and the close time of the library, and after the strategy is issued to the air sterilizer in the library, the open time of the library is opened, the air sterilizer is turned on, and after the library is closed, the air sterilizer is turned off.
For example, a conference room of a company is expected to be in a conference in a certain time period in a certain day, the time-based intelligent strategy module can acquire the time information of the conference through a data interface service opened by a predetermined system, dynamically generate a control strategy for sterilizing and purifying air in the conference room 15-30 minutes before the conference starts, transmit the generated control strategy to an air sterilizer, and execute a corresponding control strategy.
For other applications with different scenarios, due to limited space, the description is omitted here.
It should be noted that the above intelligent policy module based on indoor air quality, the intelligent policy module based on outdoor air quality, the intelligent policy module based on human body induction, the control policy of the intelligent policy module based on light induction, and the intelligent policy module based on time can all be used for a single control policy or a combined control policy of the intelligent policy module based on attribute characteristics.
Through the intelligent strategy subsystem, an individualized solution can be provided according to the attribute characteristics of public indoor places, the indoor air quality requirements of different crowds, the outdoor air quality forecast information, the use of the public indoor places and the crowd activity characteristics, all-weather intelligent unattended operation of the terminal disinfection machine is realized, the manpower is saved to the maximum extent, and the energy consumption is reduced.
The AI intelligent learning subsystem comprises an intelligent learning module based on attribute characteristics, an intelligent learning module based on indoor air quality, an intelligent learning module based on human body induction, an intelligent learning module based on light induction, an intelligent learning module based on time and an intelligent learning module based on strategy generation.
Wherein:
and the intelligent learning module based on the attribute characteristics is used for learning the human actual intervention data of the terminal air sterilizer to obtain the user use preference based on the attribute characteristics, and obtaining the control strategy according with the user use preference by updating.
Through the intelligent learning module based on the attribute characteristics, AI intelligent learning can be carried out on an intelligent strategy based on the attribute characteristics, the use preference of a user is obtained, and the intelligent strategy based on the attribute characteristics is used for generating or updating the intelligent strategy based on the attribute characteristics, so that the air disinfection device deployed in a public indoor place can disinfect and purify the air in the space smartly and individually.
For example, the time of a lower grade of a primary school is 7:30-15:00, the time of a higher grade of the primary school is 7:30-16:30, the original intelligent control strategy of a classroom of the school is to turn on the air sterilizing machine at 7:30 and turn off the air sterilizing machine at 16:30 every day, under the control strategy, the classroom of the lower grade has no activities of students and teachers, and the teachers need to turn off the air sterilizing machine of the classroom manually. The cloud background can analyze that the air disinfector of the low-grade classroom can be manually closed by a teacher at about 15:00 through the use data reported by the air disinfector, so that the control strategy for updating the low-grade classroom is that the air disinfector is closed at 15:00 and is issued to the air disinfector of the low-grade classroom. According to the updated control strategy, the air disinfector of the lower class classroom can be automatically closed after teachers and students leave school, so that the air disinfector of the lower class classroom can be used for intelligently and individually disinfecting and purifying air.
For other applications with different scenarios, due to limited space, the description is omitted here.
And the intelligent learning module based on the indoor air quality is used for learning the artificial actual intervention data of the terminal air sterilizer to obtain the user use preference based on the indoor air quality, and obtaining the control strategy according with the user use preference by updating.
Through the intelligent learning module based on the indoor air quality, AI intelligent learning can be carried out aiming at the intelligent strategy based on the indoor air quality, the use preference of a user is obtained, and the intelligent strategy based on the indoor air quality is used for generating or updating the intelligent strategy based on the indoor air quality, so that the air disinfection device deployed in a public indoor place can disinfect and purify the air in the space smartly and individually.
For example, the main air pollutant in a school location is PM2.5, after the air disinfector is deployed, the switching threshold based on indoor air quality adopted by the air disinfector in each classroom is the same, but in fact, the lower-grade students and the higher-grade students have great difference in both immunity and physical development degree, the higher-grade classrooms can be the same as the public places where adults live in, such as the switching-on of PM2.5 concentration greater than 35 micrograms/cubic meter and the switching-off of lower-grade students less than 35 micrograms/cubic meter, and the lower-grade classrooms need higher standards, such as the switching-on of PM2.5 concentration greater than 25 micrograms/cubic meter and the switching-off of lower-grade classrooms less than 25 micrograms/cubic meter. According to the control operation of a teacher on the air disinfector in practice, the cloud background analyzes a control strategy for turning on and off the air pollutants in a low-grade classroom according to data reported by the air disinfector, and sends the control strategy to the air disinfector in the low-grade classroom, so that the low-grade classroom is turned on at a PM2.5 concentration of more than 25 micrograms/cubic meter and turned off at a PM concentration of less than 25 micrograms/cubic meter, and the air disinfector in the low-grade classroom is smarter and more personalized to disinfect and purify the air.
For other applications with different scenarios, due to limited space, the description is omitted here.
The intelligent learning module based on human body induction is used for learning human actual intervention data of the terminal air sterilizer, obtaining user use preference based on human body induction and generating a control strategy according with the user use preference.
Through the intelligent learning module based on human body induction, AI intelligent learning can be carried out aiming at an intelligent strategy based on human body induction, the use preference of a user is obtained, and a new intelligent strategy which accords with the use preference of the user is generated, so that the air disinfection device deployed in a public indoor place can disinfect and purify the air in the space more intelligently and individually.
The intelligent learning module based on light sensing is used for learning human actual intervention data of the terminal air sterilizer, obtaining user use preference based on light sensing and generating a control strategy according with the user use preference.
Through the intelligent learning module based on light sensing, AI intelligent learning can be carried out to the intelligent strategy based on light sensing, the use preference of user is obtained for generate new intelligent strategy that accords with user use preference, so that the air disinfection device that makes public indoor place dispose is clever, disinfects and purifies the air in place more individualizedly.
For example, within a certain period of time, data reporting for starting the air disinfector by a light sensing strategy and a human body sensing control strategy is available 1 hour before work, data reporting for closing the air disinfector based on the light sensing control strategy is available at 23 points, and the cloud background can generate a control strategy for starting the air disinfector 1 hour before work and closing the air disinfector at 23 points according to the data, and then the air disinfector is issued and controlled.
For other applications with different scenarios, due to limited space, the description is omitted here.
And the time-based intelligent learning module is used for learning the human actual intervention data of the terminal air sterilizer to obtain the user use preference based on human body induction and generating or updating a control strategy according with the user use preference.
Through the time-based intelligent learning module, AI intelligent learning can be carried out aiming at the time-based intelligent strategy, the use preference of a user is obtained, and the time-based intelligent strategy is used for generating or updating so that the air disinfection device deployed in a public indoor place can disinfect and purify the air in the space more intelligently and individually.
For example, the working time of a sales department of a certain company is 8:30-17:30, the working time of a technical department is 8:30-20:00, the original intelligent control strategy of the company is to turn on the air sterilizing machine at 8:30 and turn off the air sterilizing machine at 20:00 every day, under the control strategy, an office of the sales department has no staff activity, and the staff needs to turn off the air sterilizing machine manually after leaving. The cloud background can analyze that the air sterilizing machine of the sales department is manually closed at a ratio of 17:30 through the use data reported by the air sterilizing machine, so that the control strategy for updating the air sterilizing machine of the sales department is 17:30 to close the air sterilizing machine and sends the control strategy to the air sterilizing machine of the sales department. According to the updated control strategy, the air sterilizing machine of the sales department can be automatically closed after the staff leaves, so that the air sterilizing machine of the sales department can be used for sterilizing and purifying air more intelligently and individually.
For other applications with different scenarios, due to limited space, the description is omitted here.
The intelligent learning module is used for learning human actual intervention data of the terminal air sterilizer and generating an individual control strategy according with the preference of a user or a general control strategy for a specific scene; the specific scene comprises public indoor places with different attributes, same attribute spaces in the public indoor places with the same attribute, the same attribute spaces in the public indoor places with different attributes, public indoor places with different regions and combinations thereof.
Through the intelligent learning module generated based on the strategy, a single-machine control strategy or a general control strategy which accords with the preference of a user can be generated through AI intelligent learning of artificial actual intervention data of the terminal air disinfection machine, so that the air disinfection device deployed in a public indoor place can disinfect and purify the air in the space more intelligently and individually.
For example, in a library in a school, a librarian usually arrives half an hour before the open time to prepare for opening the library, and meanwhile, the air disinfector is manually started, and after the open time is over, the picking and arranging work is often carried out, and the air disinfector of the library is also delayed for half an hour to be closed. The cloud background generates a new strategy of the on-off time of the library through statistical analysis on the interfered on-off condition of the library air sterilizer, so that the strategy is suitable for the library air sterilizer.
For example, the air disinfector placed in a plurality of hospital wards in a certain area is controlled and adjusted at first according to a universal air disinfection and purification standard, but patients in respiratory wards are more sensitive to air pollution and have higher requirements on air disinfection and purification, under the same air quality, medical staff can often increase the air speed gear of the air disinfector, and based on the use condition of the air disinfector in the respiratory wards, a universal air speed gear control strategy for the respiratory wards in the certain area is generated through intelligent learning of a cloud background.
For other applications with different scenarios, due to limited space, the description is omitted here.
Through the AI intelligent learning subsystem, AI intelligent learning can be carried out based on artificial actual intervention data of the terminal air sterilizer, use preference of a user is obtained, and a new intelligent strategy is generated or the existing intelligent strategy is updated, so that the air sterilizing device deployed in a public indoor place can be used for carrying out air sterilization and purification more intelligently and more individually.
In this embodiment, the smart cloud background further includes a deployment maintenance subsystem.
The deployment maintenance subsystem includes:
the deployment information acquisition module is used for acquiring the deployment position, the deployment number, the hardware configuration and the network configuration information of the terminal air sterilizer;
and the fault processing and maintaining module is used for generating a corresponding maintenance work order according to the fault code information reported by the terminal air sterilizer, distributing the maintenance work order to corresponding maintenance personnel, judging whether the fault is removed or not according to the work order finishing information submitted by the maintenance personnel based on the fault code information, generating work order finishing confirmation information if the fault is removed, and re-distributing the maintenance work order until the fault is removed if the fault is not removed. The fault codes comprise filter element replacement, equipment power failure, equipment network failure and the like, and the fault treatment and maintenance comprises filter element replacement, power failure inspection, network failure inspection and maintenance, maintenance and replacement of components and parts and the whole machine and the like. The fault handling and maintenance flow is shown in fig. 2.
Through the deployment maintenance subsystem, fault monitoring can be carried out on the terminal air sterilizer, and through the dual work order closed-loop processing flows, the timeliness and the quality of work order processing are ensured, and the after-sale service quality of the terminal air sterilizer is ensured.
In this embodiment, the smart cloud backend further includes a data visualization subsystem.
The data visualization subsystem includes:
the data processing module is used for processing the air quality data and the operation state data reported by the terminal air sterilizer to obtain the visual data of the indoor and outdoor air quality indexes, the sterilization and purification effects and the operation state data of the terminal air sterilizer of the public indoor place;
and the data display module is used for displaying the visual data.
This data processing module accessible map visual subassembly, the visual subassembly of tree diagram, the visual subassembly of parallel coordinates, the visual subassembly of time flow diagram, the visual subassembly of scatter diagram, the visual subassembly of histogram, the visual subassembly of net diagram, the visual subassembly of pie diagram, the visual subassembly of broken line diagram and label cloud subassembly etc. with the indoor outer air quality index of public indoor place, such as PM2.5, the temperature, humidity, formaldehyde etc., air disinfection device's disinfection purifying effect, such as the purifying capacity of particulate matter, accumulative total air disinfection volume etc. and air disinfection device's operational data, such as operating duration, the fault rate etc. demonstrate through data display module through the mode of visual chart. The data display module can be a large screen, an APP terminal or a PC display terminal.
Through the data visualization subsystem, a user who deploys the air disinfector can conveniently check the running state and the purification and disinfection effects of the air disinfector in each deployed space more intuitively, and the user experience is improved.
In this embodiment, the smart cloud background further includes a user right subsystem.
The user authority subsystem comprises:
the deployment maintenance authority module is used for authorizing terminal air sterilizer deployment and work order maintenance authorities, wherein the work order maintenance authorities comprise work order claiming authorities and work order state updating authorities;
the subarea management authority module is used for authorizing the terminal air sterilizer deployment, the control strategy maintenance, the running state monitoring, the maintenance and repair and the authority of the managed maintenance personnel in the jurisdiction;
the data visualization viewing authority module is used for authorizing visualization data of the terminal air disinfector in the jurisdiction area;
the data visualization maintenance authority module is used for authorizing the maintenance authority of the visualization data;
and the super management authority module is used for authorizing all authorities of the intelligent distributed air disinfection and purification system.
Through the user authority subsystem, different authorities can be granted according to user types, and the terminal air sterilizer is convenient to carry out authority-sharing management, maintenance and data viewing.
In the actual work of fault handling and maintenance, the condition that the terminal air sterilizer is lost is often generated, and at the moment, the condition that whether the transmission interruption is the fault of the wireless communication module or the power failure of the terminal air sterilizer cannot be judged, so that inconvenience is brought to the dispatch of the work order. In order to solve the problem, the present embodiment designs a power failure reporting apparatus based on a wireless communication module, so as to determine a failure cause of wireless transmission interruption.
Referring to fig. 3, the wireless communication module is disposed in the terminal air sterilizer, and the wireless communication module is connected to a power failure fault reporting device;
the power failure fault reporting device comprises a standby battery, a charging and discharging circuit, a voltage conversion circuit, an analog-to-digital conversion circuit and a power failure fault reporting module;
the input end of the charge-discharge circuit is connected with an input power supply of the terminal air sterilizer, the output end of the charge-discharge circuit is connected with the input end of the voltage conversion circuit, and the output end of the voltage conversion circuit is connected with the power supply input end of the wireless communication module;
the standby battery is connected with the charging and discharging circuit and used for charging the standby battery through the charging and discharging circuit when an input power supply exists and supplying power to the wireless communication module through the standby battery when no input power supply exists;
the analog-to-digital conversion circuit is connected with the input power supply and the wireless communication module and is used for detecting the input voltage of the input power supply and feeding back power supply state information to the wireless communication module;
the power failure fault reporting module is embedded in the wireless communication module and used for acquiring power supply state information fed back by the analog-to-digital conversion circuit and information of the input power supply connected or disconnected by the charging and discharging circuit, and if the power supply state is in an abnormal state and the charging and discharging circuit and the input power supply are in a disconnected state, the power failure fault information is uploaded to the cloud background.
The outage fault reporting module in the embodiment can realize the outage fault reporting function by writing related codes in the existing wireless communication module, and the uploading of outage fault information can be realized without independently setting a reporting module at the periphery of the wireless communication module, so that the outage fault reporting module is simple and easy to implement and has low cost.
Through this outage fault reporting device, can judge the trouble reason that wireless transmission interrupted, get rid of wireless transmission module trouble, through reporting outage fault information to cloud backstage, be favorable to the work order to distribute, improve the efficiency of fault handling.
It should be noted that the outage fault reporting device may also be used in other intelligent household appliances to achieve the fault reason judgment of wireless transmission interruption, which is not described herein again.
The wireless transmission module in the embodiment is preferably an NB-IOT module, and the NB-IOT module can be subjected to communication control through a serial port and a reset circuit pin, so that the networking configuration of the air disinfection device is simplified, the air disinfection device is ensured to be networked by using telecommunication-level network quality, and the communication with a cloud background, data reporting and control can be stably and reliably realized within 7X24 hours. It should be noted that, according to the actual network coverage of the deployment site of the air sterilizer, 4G, 3G, 2G communication modules may also be used for wireless transmission of data.
In the embodiment, the cloud background acquires the position information of the air sterilizer of the distribution network terminal based on the position information of the intelligent mobile terminal when the personnel are deployed on site and the network is distributed. In the process of matching the air disinfector with the network, GPS position information of a mobile terminal (such as a smart phone) is bound with ID information of the air disinfector arranged in a deployment place and uploaded to a cloud background, so that the cloud background can simply and conveniently acquire the position information of the air disinfector without arranging an independent position acquisition module in the air disinfector, the structure of the air disinfector at the terminal is simplified, and the cost is reduced.
Referring to fig. 4, the terminal air sterilizer in this embodiment includes an MCU, an air quality acquisition module, and a power module for independently supplying power to the air quality acquisition module, where the power module is used to continuously supply power to the air quality acquisition module when the terminal air sterilizer is in a standby state;
the air quality acquisition module is used for uploading real-time acquired air quality data to the MCU when the terminal air sterilizer is in a standby state, so that the MCU executes the starting of the terminal air sterilizer, the rotating speed of the motor and the action of the corresponding wind speed gear.
Through set up the power module who independently supplies power for air quality acquisition module at terminal air sterilizing machine, can realize air quality monitoring and air purification under the terminal air sterilizing machine standby state, according to the change of air quality, in time, reliably provide the air purification scheme.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, it should be noted that, for those skilled in the art, many modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.

Claims (2)

1. An intelligent distributed air disinfection and purification system is characterized by comprising a terminal air disinfection machine and an intelligent cloud background; the terminal air sterilizer is deployed in a public indoor place and is communicated with the intelligent cloud background through a wireless communication module;
the intelligent cloud background comprises an intelligent strategy subsystem;
the intelligent policy subsystem comprises:
the intelligent strategy module based on the attribute characteristics is used for controlling the terminal air sterilizer to execute a single control strategy or a combined control strategy through starting, closing and adjusting the wind speed gear operation according to the attribute characteristics of the public indoor places and the running state data of the terminal air sterilizer; the attribute characteristics comprise schools, hospitals, hotels, bank business halls, movie theaters, government offices and enterprise and public office buildings;
the intelligent strategy module based on the indoor air quality is used for controlling the terminal air sterilizer to execute a corresponding control strategy through operations of starting, closing and adjusting wind speed gears based on a preset target value of the indoor air quality index according to real-time monitoring data of one or more air quality indexes in a public indoor place and running state data of the terminal air sterilizer;
the intelligent strategy module based on the outdoor air quality is used for controlling the terminal air sterilizer to execute a corresponding control strategy by starting, closing and adjusting the wind speed gear operation according to the forecast information of one or more air quality indexes of outdoor weather of the place where the public indoor place is located and the running state data of the terminal air sterilizer by combining with the preset target value of the indoor air quality index;
the intelligent strategy module based on human body induction is used for controlling the terminal air sterilizer to execute a corresponding control strategy through starting, closing and adjusting wind speed gear operation according to human body induction data acquired by a human body induction device arranged on the terminal air sterilizer and running state data of the terminal air sterilizer; when the human body sensing device detects that a person moves, the terminal air disinfection machine is started, and the wind speed gear is adjusted according to the corresponding relation between the indoor pollutant condition and the wind speed gear; when the human body sensing device does not detect the activity of a person within a set time, closing the terminal air sterilizing machine;
the intelligent strategy module based on light induction is used for controlling the terminal air sterilizer to execute a corresponding control strategy through starting, closing and adjusting wind speed gear operation according to visible light intensity data and terminal air sterilizer running state data acquired by a light induction sensor arranged on the terminal air sterilizer; when the light induction sensor detects light with set light intensity, the terminal air sterilizer is started; when the light ray induction sensor does not detect the light ray with the set light ray intensity, the terminal air sterilizing machine is in a closed state; the visible light comprises natural light and lamplight;
the intelligent strategy module based on time is used for controlling the terminal air sterilizer to execute a corresponding control strategy through starting, closing and adjusting the wind speed gear operation according to the service time of the public indoor place and the running state data of the terminal air sterilizer; the service time comprises fixed service time and reserved service time;
the control strategy executed by the intelligent strategy module based on the attribute characteristics comprises the following steps:
executing an air quality-based control strategy and/or a time-based control strategy for classrooms of schools, bank business halls, movie theaters, government offices, enterprise and public office buildings;
executing an air quality based control strategy for a ward of a hospital;
executing a control strategy based on human body induction and/or light induction aiming at a guest room of a hotel;
the intelligent cloud background further comprises an AI intelligent learning subsystem;
the AI intelligent learning subsystem comprises:
the intelligent learning module is used for learning human actual intervention data of the terminal air sterilizer to obtain user use preference based on the attribute characteristics and generating or updating a control strategy according with the user use preference;
the intelligent learning module based on the indoor air quality is used for learning the artificial actual intervention data of the terminal air sterilizer to obtain the user use preference based on the indoor air quality and generating or updating a control strategy conforming to the user use preference;
the intelligent learning module is used for learning human actual intervention data of the terminal air sterilizer to obtain user use preference based on human body induction and generate a control strategy according with the user use preference;
the intelligent learning module is used for learning artificial actual intervention data of the terminal air sterilizer, obtaining user use preference based on light induction and generating a control strategy according with the user use preference;
the intelligent learning module based on time is used for learning the human actual intervention data of the terminal air sterilizer to obtain the user use preference based on time and generating or updating a control strategy conforming to the user use preference;
the intelligent learning module is used for learning human actual intervention data of the terminal air sterilizer and generating an individual control strategy according with the preference of a user or a general control strategy for a specific scene; the specific scene comprises public indoor places with different attributes, the same attribute space in the public indoor place with the same attribute, the same attribute space in the public indoor places with different attributes, the public indoor places with different regions and combinations thereof;
the intelligent cloud background further comprises a deployment maintenance subsystem;
the deployment maintenance subsystem includes:
the deployment information acquisition module is used for acquiring the deployment position, the deployment number, the hardware configuration and the network configuration information of the terminal air sterilizer;
the fault processing and maintaining module is used for generating a corresponding maintenance work order according to fault code information reported by the terminal air sterilizer, distributing the maintenance work order to corresponding maintenance personnel, judging whether the fault is removed or not according to work order finishing information submitted by the maintenance personnel based on the fault code information, generating work order finishing confirmation information if the fault is removed, and re-distributing the maintenance work order until the fault is removed if the fault is not removed;
the intelligent cloud background further comprises a data visualization subsystem;
the data visualization subsystem includes:
the data processing module is used for processing the air quality data and the operation state data reported by the terminal air sterilizer to obtain the visual data of the indoor and outdoor air quality indexes, the sterilization and purification effects and the operation state data of the terminal air sterilizer of the public indoor place;
the data display module is used for displaying the visual data;
the intelligent cloud background also comprises a user authority subsystem;
the user authority subsystem comprises:
the deployment maintenance authority module is used for authorizing terminal air sterilizer deployment and work order maintenance authorities, wherein the work order maintenance authorities comprise work order claiming authorities and work order state updating authorities;
the subarea management authority module is used for authorizing the terminal air sterilizer deployment, the control strategy maintenance, the running state monitoring, the maintenance and repair and the authority of the managed maintenance personnel in the jurisdiction;
the data visualization viewing authority module is used for authorizing visualization data of the terminal air disinfector in the jurisdiction area;
the data visualization maintenance authority module is used for authorizing the maintenance authority of the visualization data;
the super management authority module is used for authorizing all authorities of the intelligent distributed air disinfection and purification system;
the wireless communication module is arranged on the terminal air sterilizer and is connected with a power failure fault reporting device;
the power failure fault reporting device comprises a standby battery, a charging and discharging circuit, a voltage conversion circuit, an analog-to-digital conversion circuit and a power failure fault reporting module;
the input end of the charge-discharge circuit is connected with an input power supply of the terminal air sterilizer, the output end of the charge-discharge circuit is connected with the input end of the voltage conversion circuit, and the output end of the voltage conversion circuit is connected with the power supply input end of the wireless communication module;
the standby battery is connected with the charging and discharging circuit and used for charging the standby battery through the charging and discharging circuit when an input power supply exists and supplying power to the wireless communication module through the standby battery when no input power supply exists;
the analog-to-digital conversion circuit is connected with the input power supply and the wireless communication module and is used for detecting the input voltage of the input power supply and feeding power supply state information back to the wireless communication module;
the power failure fault reporting module is embedded in the wireless communication module and used for acquiring power supply state information fed back by the analog-to-digital conversion circuit and information of the charging and discharging circuit for connecting or disconnecting the input power supply, and if the power supply state is in an abnormal state and the charging and discharging circuit and the input power supply are in a disconnected state, the power failure fault information is uploaded to the cloud background;
the cloud background acquires the position information of the air disinfector of the distribution network terminal based on the position information of the intelligent mobile terminal when the personnel are deployed on site to distribute the network;
the terminal air sterilizer comprises an MCU, an air quality acquisition module and a power supply module for independently supplying power to the air quality acquisition module, wherein the power supply module is used for continuously supplying power to the air quality acquisition module when the terminal air sterilizer is in a standby state;
the air quality acquisition module is used for uploading real-time acquired air quality data to the MCU when the terminal air sterilizer is in a standby state, and the MCU executes the starting of the terminal air sterilizer, the adjustment of the rotating speed of the motor and the action of the corresponding wind speed gear.
2. The intelligent distributed air disinfection and purification system of claim 1, wherein the wireless communication module is an NB-IOT module.
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